Litcius/Paper detail

Deep brain–machine interfaces: sensing and modulating the human deep brain

Yanan Sui, Huiling Yu, Chen Zhang, Yue Chen, Changqing Jiang, Luming Li

2022National Science Review30 citationsDOIOpen Access PDF

Abstract

Different from conventional brain-machine interfaces that focus more on decoding the cerebral cortex, deep brain-machine interfaces enable interactions between external machines and deep brain structures. They sense and modulate deep brain neural activities, aiming at function restoration, device control and therapeutic improvements. In this article, we provide an overview of multiple deep brain recording and stimulation techniques that can serve as deep brain-machine interfaces. We highlight two widely used interface technologies, namely deep brain stimulation and stereotactic electroencephalography, for technical trends, clinical applications and brain connectivity research. We discuss the potential to develop closed-loop deep brain-machine interfaces and achieve more effective and applicable systems for the treatment of neurological and psychiatric disorders.

Topics & Concepts

Deep brain stimulationBrain–computer interfaceBrain functionComputer scienceNeuroscienceBrain activity and meditationElectroencephalographyBrain stimulationInterface (matter)Deep neural networksArtificial intelligenceDeep learningStimulationMedicinePsychologyPathologyParkinson's diseaseParallel computingMaximum bubble pressure methodDiseaseBubbleEEG and Brain-Computer InterfacesNeurological disorders and treatmentsNeuroscience and Neural Engineering
Deep brain–machine interfaces: sensing and modulating the human deep brain | Litcius